Educational Attainment in the Monroe Precinct 3, Monroe County, Illinois (Precinct)

Educational Attainment#1

Highest level of education among people aged 25 years and older.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
0%10%20%30%40%50%CountHigher Degree1H.S. Diploma2No H.S. Diploma251.603053%38.238791%51.603053%51.6%33848.396947%57.154382%48.396947%48.4%3170.000000%0.000000%0.0%4.606827%0
Count number of people in category
1Post-Secondary Degree 2H.S. = High School

Relative Educational Attainment#2

Highest level of education among people aged 25 years and older, as percentage more or less than Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 3
-100%0%+100%%ref.Higher Degree1H.S. Diploma2No H.S. Diploma234.949491%34.949491%+34.9%51.603%51.6%38.239%38.2%-15.322421%-15.322421%-15.3%48.397%48.4%57.154%57.2%-100.000000%-100.000000%-100.0%0.000%0%4.607%4.61%
% percentage with given level in the Monroe Precinct 3
ref. percentage with given level in Monroe County
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment#3

Highest level of education among people aged 25 years and older.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
0%5%10%15%20%25%30%CountDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None1.679389%0.785496%1.679389%1.7%113.969466%1.256793%3.969466%4.0%2610.687023%8.054518%10.687023%10.7%7033.282443%19.684103%33.282443%33.3%2181.984733%8.457880%1.984733%2.0%1318.931298%24.881114%18.931298%18.9%12429.465649%32.273268%29.465649%29.5%1930.000000%0.000000%0.0%3.231148%00.000000%0.000000%0.0%1.188859%00.000000%0.000000%0.0%0.186821%0
Count number of people in category
1Degree 2Diploma or equivialent 3H.S. = High School

Detailed Relative Educational Attainment#4

Highest level of education among people aged 25 years and older, as percentage more or less than Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 3
-200%0%+200%%ref.Doctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School2Some H.S.3Less than H.S.3None113.799876%113.799876%+113.8%1.679%1.68%0.785%0.79%215.840726%215.840726%+215.8%3.969%3.97%1.257%1.26%32.683586%32.683586%+32.7%10.687%10.7%8.055%8.05%69.082850%69.082850%+69.1%33.282%33.3%19.684%19.7%-76.533922%-76.533922%-76.5%1.985%1.98%8.458%8.46%-23.912982%-23.912982%-23.9%18.931%18.9%24.881%24.9%-8.699518%-8.699518%-8.7%29.466%29.5%32.273%32.3%-100.000000%-100.000000%-100.0%0.000%0%3.231%3.23%-100.000000%-100.000000%-100.0%0.000%0%1.189%1.19%-100.000000%-100.000000%-100.0%0.000%0%0.187%0.19%
% percentage with given level in the Monroe Precinct 3
ref. percentage with given level in Monroe County
1Degree 2Diploma or equivialent 3H.S. = High School

Educational Attainment Sex Ratio#5

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Monroe County and the Monroe Precinct 3
More Females More Males
Monroe County
Monroe Precinct 3
40%20%0%20%40%FMHigher Degree1H.S. Diploma240.891003%1.204950%40.891003%41%43.716%43.7%61.592%61.6%-46.541624%-0.375398%-46.541624%47%56.284%56.3%38.408%38.4%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Post-Secondary Degree 2H.S. = High School

Detailed Educational Attainment Sex Ratio#6

Percentage more likely men or women are to have various highest levels of education among people aged 25 years and older.
Scope: population of Monroe County and the Monroe Precinct 3
More Females More Males
Monroe County
Monroe Precinct 3
1,000%500%0%FMDoctorate1Professional1Master's1Bachelor's1Associate's1Some CollegeHigh School25.536332%22.237589%5.536332%6%1.639%1.64%1.730%1.73%184.948097%160.690368%184.948097%185%2.186%2.19%6.228%6.23%-13.267202%68.858131%68.858131%69%8.197%8.20%13.841%13.8%-19.445407%41.398193%41.398193%41%28.142%28.1%39.792%39.8%-1,000.000000%-1,000.000000%> 1000%54.139032%3.552%3.55%0.000%0%-7.777248%14.953420%14.953420%15%17.760%17.8%20.415%20.4%-114.107818%-114.107818%114%5.226943%38.525%38.5%17.993%18.0%
F females in category as a percentage of all females
M males in category as a percentage of all males
1Degree 2Diploma or equivialent 3H.S. = High School

Bachelor's Degrees By Age#7

Percentage of age cohort whose highest degree is a Bachelor's.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
0%10%20%30%40%50%60%B.X.Total65+45-6435-4425-349.090909%7.280474%9.090909%9.1%1011016.525424%18.944310%16.525424%16.5%3923636.363636%29.087902%36.363636%36.4%4813268.361582%29.357798%68.361582%68.4%121177
B.X. number of people with a Bachelor's degree
Total number of people in age cohort

Relative Bachelor's Degrees By Age#8

Percentage of population whose highest degree is a Bachelor's, as a percentage more or less than Monroe County at large.
Scope: population of Monroe County and the Monroe Precinct 3
0%50%100%%ref.65+45-6435-4425-3424.866991%24.866991%24.9%9.091%9.09%7.280%7.28%-12.768405%-12.768405%12.8%16.525%16.5%18.944%18.9%25.012924%25.012924%25.0%36.364%36.4%29.088%29.1%132.856638%132.856638%132.9%68.362%68.4%29.358%29.4%
% percentage in the Monroe Precinct 3 with a Bachelor's degree
ref percentage in Monroe County with a Bachelor's degree

Bachelor's Degrees Sex Ratio By Age#9

Percentage more likely men or women are to have their highest degree be a Bachelor's.
Scope: population of Monroe County and the Monroe Precinct 3
More Females More Males
Monroe County
Monroe Precinct 3
1,000%500%0%500%1,000%FM65+45-6435-4425-34-1,000.000000%-19.066720%-1,000.000000%> 1000%14.286%14.3%0.000%0%-26.637719%1,000.000000%1,000.000000%> 1000%0.000%0%34.513%34.5%-173.333333%-1.299650%-173.333333%173.3%45.556%45.6%16.667%16.7%-48.456604%17.164484%17.164484%17.2%62.651%62.7%73.404%73.4%
F female degree holders as a percentage of all females
M male degree holders as a percentage of all males

Median Earnings by Educational Attainment#10

Among population 25 years old and over with earnings.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
$0k$50k$100kCount%Graduate Degree1Some CollegeH.S. Diploma2Total$101,938.000000$72,695.000000$101,938.000000$101.9k10716.336%16.3%$40,536.000000$42,125.000000$40,536.000000$40.5k13720.916%20.9%$51,154.000000$34,301.000000$51,154.000000$51.2k19329.466%29.5%$53,958.000000$46,124.000000$53,958.000000$54.0k655100.000%100%
Count number of people with given highest level of educational attainment
% percentage of people with given highest level of educational attainment
1or professional degree 2H.S. = High School

Median Earnings by Educational Attainment#11

By sex among population 25 years old and over with earnings.
Scope: population of Monroe County and the Monroe Precinct 3
Female Male
Monroe County
Monroe Precinct 3
Shaded bar tips show excess over facing bar.
$40k$20k$0k$20k$40k$60kFMTotal$-50,192.000000$-35,690.000000$-50,192.000000$50.2k$50,192.000000$20,086.000000$35,690.000000$18,928.000000$70,278.000000$70.3k366289
F females with given highest level of educational attainment
M males with given highest level of educational attainment
1or professional degree 2H.S. = High School

Composition of the Armed Forces by Educational Attainment#12

Percentage of the armed forces aged 25 to 64 years old with various highest levels of educational attainment.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
0%20%40%60%80%100%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma3100.000000%100.000000%100.000000%100.0%120.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%00.000000%0.000000%0.000000%0.0%0
Count members of the armed forces with the given level of educational attainment
1or higher 2two or four year institution 3H.S. = High School

Employment by Educational Attainment#13

Percentage of population that is employed by highest level of educational attainment among the population aged 25 to 64 years old.
Scope: population of Monroe County and the Monroe Precinct 3
Monroe Precinct 3
Monroe County
0%20%40%60%80%CountBachelor's Degree1Some College2H.S. Diploma3No H.S. Diploma387.936508%88.427394%87.936508%87.9%27776.377953%80.925035%76.377953%76.4%9767.961165%74.332935%67.961165%68.0%700.000000%0.000000%0.0%48.031496%0
Count employed people with given educational attainment aged 25 to 64 years old
1or higher 2two or four year institution 3H.S. = High School

Lacking High School Diploma By Race#14

Percent of racial or ethnic group lacking a high school diploma (or equivalent).
Scope: population of Monroe County and the Monroe Precinct 3
Female Male
Monroe County
Monroe Precinct 3
Shaded bar tips show excess over facing bar.
4%3%2%1%0%1%2%3%MFWhite1-0.000000%-3.939066%-0.863242%0.000000%0.0%0.000000%0.000000%3.939066%0.000000%0.0%00
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

College Graduates By Race#15

Percent of racial or ethnic group with a bachelor's degree or higher.
Scope: population of Monroe County and the Monroe Precinct 3
Female Male
Monroe County
Monroe Precinct 3
Shaded bar tips show excess over facing bar.
40%20%0%20%40%60%MFWhite1-40.163934%-28.285560%-2.420363%-40.163934%40.2%40.163934%26.753359%28.285560%66.917293%66.9%178147
M number of males in category
F number of females in category
1non-Hispanic 2excluding black and Asian Hispanics

Map of Educational Attainment by Tract in the Monroe Precinct 3

Coarse: Post-Secondary Degree Educational Attainment by Tract#16

Percentage of the population 25 years and older with given highest level of educational attainment
44.0%44.8%45.5%46.2%47.0%47.8%

Coarse: High School Diploma Educational Attainment by Tract#17

Percentage of the population 25 years and older with given highest level of educational attainment
50.537%50.587%50.636%50.685%50.735%50.784%

Coarse: No High School Diploma Educational Attainment by Tract#18

Percentage of the population 25 years and older with given highest level of educational attainment
1.7%2.4%3.1%3.8%4.5%5.2%

Detailed: Doctorate Degree Educational Attainment by Tract#19

Percentage of the population 25 years and older with given highest level of educational attainment
0.53%0.84%1.15%1.45%1.76%2.07%

Detailed: Professional Degree Educational Attainment by Tract#20

Percentage of the population 25 years and older with given highest level of educational attainment
1.47%1.79%2.11%2.42%2.74%3.06%

Detailed: Master's Degree Educational Attainment by Tract#21

Percentage of the population 25 years and older with given highest level of educational attainment
8.22%8.67%9.11%9.55%9.99%10.44%

Detailed: Bachelor's Degree Educational Attainment by Tract#22

Percentage of the population 25 years and older with given highest level of educational attainment
24.51%24.71%24.91%25.10%25.30%25.50%

Detailed: Associate's Degree Educational Attainment by Tract#23

Percentage of the population 25 years and older with given highest level of educational attainment
7.63%7.77%7.91%8.05%8.18%8.32%

Detailed: Some College Educational Attainment by Tract#24

Percentage of the population 25 years and older with given highest level of educational attainment
21.49%21.88%22.27%22.66%23.05%23.45%

Detailed: High School Diploma or Equivalent Educational Attainment by Tract#25

Percentage of the population 25 years and older with given highest level of educational attainment
27.09%27.53%27.97%28.41%28.85%29.30%

Detailed: Some High School Educational Attainment by Tract#26

Percentage of the population 25 years and older with given highest level of educational attainment
0.96%1.36%1.75%2.14%2.54%2.94%

Detailed: Less than High School Educational Attainment by Tract#27

Percentage of the population 25 years and older with given highest level of educational attainment
0.79%0.96%1.13%1.30%1.47%1.65%

Detailed: None Educational Attainment by Tract#28

Percentage of the population 25 years and older with given highest level of educational attainment
0.00%0.12%0.24%0.35%0.47%0.60%
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Educational Attainment by County Subdivision in the St. Louis Area

There are 238 county subdivisions in the St. Louis Area. This section compares the Monroe Precinct 3 to the 50 most populous county subdivisions in the St. Louis Area and to those entities that contain or substantially overlap with the Monroe Precinct 3. The least populous of the compared county subdivisions has a population of 24,170.

No H.S. Diploma by County Subdivision#29

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 3
0%5%10%15%Count#East St. Louis TownshipE St. LouisCentreville TownshipCentrevilleNormandy TownshipNormandySt. LouisNorwood TownshipNorwoodAirport TownshipAirportLemay TownshipLemayMidland TownshipMidlandSt. Ferdinand TownshipSt. FerdinandUnited States of AmericaUnited StatesRock TownshipIllinoisGranite City TownshipGranite CityEast North CentralUniversity TownshipUnivWood River TownshipWood RivFlorissant TownshipFlorissantMidwestAlton TownshipAltonFerguson TownshipFergusonSt. Louis Metro AreaSt. LouisImperial TownshipImperialConcord TownshipConcordCaseyville TownshipCaseyvilleNorthwest TownshipNWSpanish Lake TownshipSpanish LkO'Fallon TownshipO'FallonWentzville TownshipWentzvilleBelleville TownshipBellevilleGravois TownshipGravoisLewis and Clark TownshipLewis and ClarkWeldon Spring TownshipWeldon SpgTesson Ferry TownshipTesson FerryCollinsville TownshipCollinsvilleFrontier TownshipFrontierSt. Clair TownshipSt. ClairLake St. Louis TownshipLk St. LouisQueeny TownshipQueenyMonroe CountyMonroeColumbiaOakville TownshipOakvilleBoone TownshipBooneZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Bonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsMeramec TownshipMeramecDardenne TownshipDardenneLafayette TownshipLafayetteCreve Coeur TownshipCreve CoeurWildhorse TownshipWildhorseHadley TownshipHadleyClayton TownshipClaytonEdwardsville TownshipEdwardsvilleO'Fallon TownshipO'FallonMissouri River TownshipMissouri RivCottleville TownshipCottlevilleJefferson TownshipJeffersonChesterfield TownshipChesterfieldMonroe Precinct 3318.677369%18.677369%18.7%3,118116.955795%16.955795%17.0%2,639215.494437%15.494437%15.5%3,245315.466266%15.466266%15.5%33,80433.8k414.895461%14.895461%14.9%2,921514.777735%14.777735%14.8%3,454614.236246%14.236246%14.2%3,659714.013093%14.013093%14.0%3,275813.139625%13.139625%13.1%2,555913.020590%13.020590%13.0%27,818,38027.8M11.722399%11.722399%11.7%2,5101011.703119%11.703119%11.7%1,008,6081.01M11.606623%11.606623%11.6%2,1941110.719464%10.719464%10.7%3,363,7843.36M10.592623%10.592623%10.6%2,3291210.500522%10.500522%10.5%2,3141310.324033%10.324033%10.3%2,4311410.244520%10.244520%10.2%4,641,8354.64M9.903058%9.903058%9.9%1,849159.870005%9.870005%9.9%2,255169.047519%9.047519%9.0%173,200173k8.945606%8.945606%8.9%1,416178.571846%8.571846%8.6%2,348188.461853%8.461853%8.5%1,860198.206995%8.206995%8.2%1,781207.944951%7.944951%7.9%1,882217.329682%7.329682%7.3%1,432227.272790%7.272790%7.3%2,099237.172909%7.172909%7.2%2,097246.620459%6.620459%6.6%1,662256.354134%6.354134%6.4%1,617266.264086%6.264086%6.3%1,084276.080066%6.080066%6.1%1,780285.742836%5.742836%5.7%1,477295.489044%5.489044%5.5%972305.481446%5.481446%5.5%1,356315.138009%5.138009%5.1%981324.988602%4.988602%5.0%1,313334.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.457702%4.457702%4.5%1,203344.187380%4.187380%4.2%1,314354.084224%4.084224%4.1%3863.932342%3.932342%3.9%3653.898356%3.898356%3.9%1,034363.830437%3.830437%3.8%1,003373.829155%3.829155%3.8%979383.716275%3.716275%3.7%646393.532710%3.532710%3.5%857403.513806%3.513806%3.5%943413.420021%3.420021%3.4%864423.328937%3.328937%3.3%732433.226913%3.226913%3.2%847443.024616%3.024616%3.0%693452.930805%2.930805%2.9%507462.130671%2.130671%2.1%542471.871267%1.871267%1.9%307481.842560%1.842560%1.8%459491.802981%1.802981%1.8%496500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#30

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 3
0%20%40%60%Count#Missouri River TownshipMissouri RivClayton TownshipClaytonChesterfield TownshipChesterfieldJefferson TownshipJeffersonHadley TownshipHadleyCreve Coeur TownshipCreve CoeurLafayette TownshipLafayetteBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsWildhorse TownshipWildhorseQueeny TownshipQueenyMeramec TownshipMeramecMonroe Precinct 33Edwardsville TownshipEdwardsvilleCottleville TownshipCottlevilleO'Fallon TownshipO'FallonBoone TownshipBooneGravois TownshipGravoisFrontier TownshipFrontierTesson Ferry TownshipTesson FerryColumbiaWeldon Spring TownshipWeldon SpgDardenne TownshipDardenneOakville TownshipOakvilleZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Lake St. Louis TownshipLk St. LouisUniversity TownshipUnivSt. Clair TownshipSt. ClairConcord TownshipConcordSt. LouisIllinoisSt. Louis Metro AreaSt. LouisCollinsville TownshipCollinsvilleCaseyville TownshipCaseyvilleUnited States of AmericaUnited StatesMonroe CountyMonroeMidwestWentzville TownshipWentzvilleEast North CentralNorthwest TownshipNWSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkO'Fallon TownshipO'FallonFlorissant TownshipFlorissantRock TownshipImperial TownshipImperialBelleville TownshipBellevilleLemay TownshipLemayFerguson TownshipFergusonAirport TownshipAirportNormandy TownshipNormandyAlton TownshipAltonMidland TownshipMidlandWood River TownshipWood RivSt. Ferdinand TownshipSt. FerdinandGranite City TownshipGranite CityNorwood TownshipNorwoodCentreville TownshipCentrevilleEast St. Louis TownshipE St. Louis71.743062%71.743062%71.7%18,25018.3k170.432033%70.432033%70.4%18,48718.5k268.124318%68.124318%68.1%18,74118.7k367.676930%67.676930%67.7%16,85916.9k466.683342%66.683342%66.7%14,66314.7k561.702128%61.702128%61.7%16,55916.6k659.413001%59.413001%59.4%14,41314.4k758.403710%58.403710%58.4%15,49115.5k857.956846%57.956846%58.0%15,17615.2k952.990540%52.990540%53.0%13,38713.4k1052.545593%52.545593%52.5%13,83013.8k1150.041069%50.041069%50.0%12,79412.8k1249.618321%49.618321%49.6%32548.996159%48.996159%49.0%11,22611.2k1348.445691%48.445691%48.4%7,9481445.927510%45.927510%45.9%7,9451540.924156%40.924156%40.9%12,84212.8k1640.714627%40.714627%40.7%10,22110.2k1740.219110%40.219110%40.2%7,1221840.193332%40.193332%40.2%11,76711.8k1940.174009%40.174009%40.2%2,90939.560821%39.560821%39.6%6,8462039.389058%39.389058%39.4%6,8472138.348094%38.348094%38.3%10,34910.3k2237.212993%37.212993%37.2%3,51737.104072%37.104072%37.1%3,44436.495051%36.495051%36.5%6,9682334.593169%34.593169%34.6%7,6062433.490986%33.490986%33.5%8,2852533.458674%33.458674%33.5%9,1652633.007421%33.007421%33.0%72,14372.1k2732.893660%32.893660%32.9%2,834,8692.83M32.608574%32.608574%32.6%624,238624k31.202613%31.202613%31.2%8,0252830.426277%30.426277%30.4%6,6882930.315023%30.315023%30.3%64,767,78764.8M29.780910%29.780910%29.8%7,01428.952816%28.952816%29.0%13,118,64213.1M28.661516%28.661516%28.7%8,2723028.462853%28.462853%28.5%8,931,6868.93M27.883508%27.883508%27.9%6,0513127.803107%27.803107%27.8%6,5863227.746778%27.746778%27.7%7,0613327.588678%27.588678%27.6%5,3903426.084002%26.084002%26.1%6,1423523.617598%23.617598%23.6%5,0573623.387453%23.387453%23.4%3,7023723.085343%23.085343%23.1%6,7493821.247374%21.247374%21.2%5,4613920.860507%20.860507%20.9%4,7664018.927823%18.927823%18.9%4,4244118.583775%18.583775%18.6%3,8924217.535215%17.535215%17.5%3,2744317.401908%17.401908%17.4%4,0674416.190952%16.190952%16.2%3,5684514.080741%14.080741%14.1%2,7384613.442311%13.442311%13.4%2,5414712.335543%12.335543%12.3%2,419489.894629%9.894629%9.9%1,540499.847850%9.847850%9.8%1,64450
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#31

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 3
0%5%10%15%Count#Clayton TownshipClaytonHadley TownshipHadleyMissouri River TownshipMissouri RivJefferson TownshipJeffersonCreve Coeur TownshipCreve CoeurChesterfield TownshipChesterfieldUniversity TownshipUnivBonhomme TownshipBonhommeMaryland Heights TownshipMaryland HtsLafayette TownshipLafayetteEdwardsville TownshipEdwardsvilleMonroe Precinct 33Queeny TownshipQueenySt. LouisWildhorse TownshipWildhorseGravois TownshipGravoisCottleville TownshipCottlevilleO'Fallon TownshipO'FallonMeramec TownshipMeramecTesson Ferry TownshipTesson FerryIllinoisSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4ColumbiaMidwestEast North CentralSt. Clair TownshipSt. ClairCollinsville TownshipCollinsvilleConcord TownshipConcordCaseyville TownshipCaseyvilleDardenne TownshipDardenneOakville TownshipOakvilleBoone TownshipBooneLake St. Louis TownshipLk St. LouisWeldon Spring TownshipWeldon SpgMonroe CountyMonroeSpanish Lake TownshipSpanish LkLewis and Clark TownshipLewis and ClarkRock TownshipFrontier TownshipFrontierNorthwest TownshipNWWentzville TownshipWentzvilleFerguson TownshipFergusonAlton TownshipAltonBelleville TownshipBellevilleO'Fallon TownshipO'FallonFlorissant TownshipFlorissantNormandy TownshipNormandyGranite City TownshipGranite CityAirport TownshipAirportMidland TownshipMidlandWood River TownshipWood RivSt. Ferdinand TownshipSt. FerdinandLemay TownshipLemayNorwood TownshipNorwoodImperial TownshipImperialCentreville TownshipCentrevilleEast St. Louis TownshipE St. Louis15.361170%15.361170%15.4%4,032114.975670%14.975670%15.0%3,293214.647378%14.647378%14.6%3,726310.621814%10.621814%10.6%2,646410.451988%10.451988%10.5%2,80559.712832%9.712832%9.7%2,67267.995634%7.995634%8.0%1,75877.329211%7.329211%7.3%1,94487.103303%7.103303%7.1%1,86096.694423%6.694423%6.7%1,624105.665154%5.665154%5.7%1,298115.648855%5.648855%5.6%375.334347%5.334347%5.3%1,404124.880448%4.880448%4.9%10,66710.7k134.298777%4.298777%4.3%1,086144.174634%4.174634%4.2%1,048153.852249%3.852249%3.9%632163.751662%3.751662%3.8%649173.739195%3.739195%3.7%956183.415767%3.415767%3.4%1,000193.366505%3.366505%3.4%290,135290k3.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.216591%3.216591%3.2%3043.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.785189%2.785189%2.8%689202.496209%2.496209%2.5%642212.288989%2.288989%2.3%627222.265593%2.265593%2.3%498232.255077%2.255077%2.3%392242.204765%2.204765%2.2%595252.160612%2.160612%2.2%678262.121196%2.121196%2.1%405272.057209%2.057209%2.1%356282.042289%2.042289%2.0%4811.802600%1.802600%1.8%427291.760453%1.760453%1.8%448301.732673%1.732673%1.7%371311.632031%1.632031%1.6%289321.525275%1.525275%1.5%331331.472575%1.472575%1.5%425341.444391%1.444391%1.4%330351.413957%1.413957%1.4%264361.316915%1.316915%1.3%385371.310334%1.310334%1.3%256381.227333%1.227333%1.2%289391.098219%1.098219%1.1%230401.084484%1.084484%1.1%205411.052496%1.052496%1.1%246420.919944%0.919944%0.9%215430.798657%0.798657%0.8%176440.791977%0.791977%0.8%154450.700335%0.700335%0.7%180460.662927%0.662927%0.7%130470.657022%0.657022%0.7%104480.456181%0.456181%0.5%71490.341440%0.341440%0.3%5750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#32

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the St. Louis Area, and entities that contain the Monroe Precinct 3
Female
Male
0x5x10xFM#ImperialAirportColumbiaMidlandZIP 62236Missouri RivLafayetteColumbia 4OakvilleChesterfieldGravoisWood RivClayton3UnivCottlevilleMeramecMonroeConcordCreve CoeurBonhommeFrontierNormandyTesson FerryWeldon SpgSt. FerdinandEast North CentralNWMidwestSt. LouisGranite CityUnited StatesHadleyCaseyvilleLk St. LouisIllinoisEdwardsvilleJeffersonRock TownshipQueenyO'FallonSt. ClairMaryland HtsSt. LouisBellevilleSpanish LkDardenneWildhorseWentzvilleAltonLemayCollinsvilleFlorissantBooneCentrevilleO'FallonLewis and ClarkE St. LouisNorwoodFerguson-1.000000x-1.000000x10.000000x10.000000x> 10.0x0.000%0%1.297%1.30%1-1.000000x-1.000000x4.105211x4.105211x4.11x0.431%0.43%1.770%1.77%2-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.374462x3.374462x3.37x0.435%0.44%1.469%1.47%3-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.978747x2.978747x2.98x7.591%7.59%22.613%22.6%4-1.000000x-1.000000x2.891573x2.891573x2.89x3.534%3.53%10.219%10.2%5-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.616560x2.616560x2.62x1.243%1.24%3.253%3.25%6-1.000000x-1.000000x2.233412x2.233412x2.23x6.130%6.13%13.690%13.7%7-1.000000x-1.000000x2.233340x2.233340x2.23x2.635%2.63%5.884%5.88%8-1.000000x-1.000000x2.211151x2.211151x2.21x0.505%0.51%1.117%1.12%9-1.000000x-1.000000x2.130456x2.130456x2.13x9.974%9.97%21.249%21.2%10-1.000000x-1.000000x2.080573x2.080573x2.08x3.825%3.83%7.958%7.96%-1.000000x-1.000000x2.074667x2.074667x2.07x5.484%5.48%11.378%11.4%11-1.000000x-1.000000x2.053502x2.053502x2.05x2.536%2.54%5.207%5.21%12-1.000000x-1.000000x1.947853x1.947853x1.95x2.557%2.56%4.981%4.98%13-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901670x1.901670x1.90x1.619%1.62%3.079%3.08%14-1.000000x-1.000000x1.897752x1.897752x1.90x7.445%7.44%14.128%14.1%15-1.000000x-1.000000x1.839704x1.839704x1.84x5.292%5.29%9.735%9.74%16-1.000000x-1.000000x1.801278x1.801278x1.80x1.195%1.19%2.152%2.15%17-1.000000x-1.000000x1.757641x1.757641x1.76x0.829%0.83%1.456%1.46%18-1.000000x-1.000000x1.741722x1.741722x1.74x2.559%2.56%4.457%4.46%19-1.000000x-1.000000x1.669652x1.669652x1.67x1.552%1.55%2.591%2.59%20-1.000000x-1.000000x1.656176x1.656176x1.66x0.623%0.62%1.032%1.03%21-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.594382x1.594382x1.59x1.199%1.20%1.911%1.91%22-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.539381x1.539381x1.54x0.866%0.87%1.333%1.33%23-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.523750x1.523750x1.52x11.953%12.0%18.213%18.2%24-1.000000x-1.000000x1.523301x1.523301x1.52x1.809%1.81%2.756%2.76%25-1.000000x-1.000000x1.517844x1.517844x1.52x1.689%1.69%2.563%2.56%26-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.487262x1.487262x1.49x4.594%4.59%6.833%6.83%27-1.000000x-1.000000x1.465462x1.465462x1.47x8.768%8.77%12.849%12.8%28-1.000000x-1.000000x1.461492x1.461492x1.46x1.416%1.42%2.069%2.07%29-1.000000x-1.000000x1.429705x1.429705x1.43x4.455%4.46%6.369%6.37%30-1.000000x-1.000000x1.375778x1.375778x1.38x3.191%3.19%4.390%4.39%31-1.000000x-1.000000x1.362374x1.362374x1.36x2.373%2.37%3.233%3.23%32-1.000000x-1.000000x1.284414x1.284414x1.28x6.233%6.23%8.006%8.01%33-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%34-1.000000x-1.000000x1.272103x1.272103x1.27x1.172%1.17%1.491%1.49%35-1.000000x-1.000000x1.233946x1.233946x1.23x1.642%1.64%2.026%2.03%36-1.000000x-1.000000x1.198016x1.198016x1.20x2.060%2.06%2.468%2.47%37-1.000000x-1.000000x1.189595x1.189595x1.19x3.950%3.95%4.699%4.70%38-1.000000x-1.000000x1.180028x1.180028x1.18x1.354%1.35%1.597%1.60%39-1.000000x-1.000000x1.153437x1.153437x1.15x1.321%1.32%1.523%1.52%40-1.000000x-1.000000x1.108475x1.108475x1.11x0.665%0.67%0.737%0.74%41-1.000000x-1.000000x1.039888x1.039888x1.04x2.448%2.45%2.546%2.55%42-1.000000x-1.000000x1.014307x1.014307x1.01x1.220%1.22%1.237%1.24%43-1.112780x-1.112780x1.11x1.000000x1.000000x2.272%2.27%2.042%2.04%44-1.155208x-1.155208x1.16x1.000000x1.000000x0.485%0.49%0.420%0.42%45-1.256789x-1.256789x1.26x1.000000x1.000000x1.446%1.45%1.150%1.15%46-1.257957x-1.257957x1.26x1.000000x1.000000x1.940%1.94%1.542%1.54%47-1.344446x-1.344446x1.34x1.000000x1.000000x0.383%0.38%0.285%0.28%48-1.563504x-1.563504x1.56x1.000000x1.000000x0.775%0.77%0.496%0.50%49-1.780772x-1.780772x1.78x1.000000x1.000000x1.786%1.79%1.003%1.00%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in Illinois

There are 1,710 county subdivisions in Illinois. This section compares the Monroe Precinct 3 to the 50 most populous county subdivisions in Illinois and to those entities that contain or substantially overlap with the Monroe Precinct 3. The least populous of the compared county subdivisions has a population of 54,812.

No H.S. Diploma by County Subdivision#33

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 3
0%10%20%30%40%Count#Cicero TownshipCiceroAurora TownshipAuroraWaukegan TownshipWaukeganJoliet TownshipJolietBerwyn TownshipBerwynElgin TownshipElginDundee TownshipDundeeAvon TownshipAddison TownshipAddisonChicagoLeyden TownshipLeydenHanover TownshipHanoverProviso TownshipProvisoRockford TownshipRockfordBloom TownshipBloomUnited States of AmericaUnited StatesThornton TownshipThorntonLockport TownshipLockportBloomingdale TownshipBloomingdalePeoria City TownshipPeoria CityDu Page TownshipDu PageLyons TownshipLyonsIllinoisElk Grove TownshipElk GrvMaine TownshipMaineEast North CentralWorth TownshipWorthBremen TownshipBremenMidwestNiles TownshipNilesSt. Louis Metro AreaSt. LouisCapital TownshipCapitalPalos TownshipPalosWayne TownshipWayneWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgPlainfield TownshipPlainfieldWarren TownshipWarrenRich TownshipEvanston TownshipEvanstonOrland TownshipOrlandAlgonquin TownshipAlgonquinYork TownshipMilton TownshipMiltonMonroe CountyMonroeBloomington City TownshipBloomington CityColumbiaChampaign City TownshipChampaign CityFrankfort TownshipFrankfortNaperville TownshipNapervilleZIP Code 62236ZIP 62236Downers Grove TownshipDowners GrvColumbia Community Unit School District 4Columbia 4Northfield TownshipNorthfieldLisle TownshipLisleVernon TownshipVernonWheatland TownshipWheatlandNew Trier TownshipNew TrierMonroe Precinct 3340.114442%40.114442%40.1%18,78818.8k133.464284%33.464284%33.5%29,81429.8k231.446858%31.446858%31.4%16,85316.9k322.775172%22.775172%22.8%12,38412.4k421.373918%21.373918%21.4%7,682519.506942%19.506942%19.5%12,77112.8k618.075020%18.075020%18.1%7,416717.697067%17.697067%17.7%7,036816.909837%16.909837%16.9%10,25710.3k916.905373%16.905373%16.9%309,770310k1016.634243%16.634243%16.6%10,68810.7k1116.021941%16.021941%16.0%10,63210.6k1215.636222%15.636222%15.6%16,11016.1k1315.608074%15.608074%15.6%18,24118.2k1413.167693%13.167693%13.2%7,7801513.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k1612.907551%12.907551%12.9%5,1981712.171847%12.171847%12.2%9,3751812.155791%12.155791%12.2%8,0961911.879050%11.879050%11.9%6,7102011.873376%11.873376%11.9%8,9082111.703119%11.703119%11.7%1,008,6081.01M11.515152%11.515152%11.5%7,5432211.132206%11.132206%11.1%10,96511.0k2310.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k2410.610291%10.610291%10.6%7,8672510.244520%10.244520%10.2%4,641,8354.64M9.916103%9.916103%9.9%7,659269.047519%9.047519%9.0%173,200173k8.623103%8.623103%8.6%6,837278.476562%8.476562%8.5%3,329288.450611%8.450611%8.5%3,825298.424707%8.424707%8.4%9,343308.392669%8.392669%8.4%6,695317.739434%7.739434%7.7%7,226327.080707%7.080707%7.1%3,426337.009572%7.009572%7.0%2,900346.047812%6.047812%6.0%3,223356.014252%6.014252%6.0%2,878365.916957%5.916957%5.9%4,154375.784297%5.784297%5.8%3,411385.461095%5.461095%5.5%4,715395.266517%5.266517%5.3%4,126404.606827%4.606827%4.6%1,0854.581501%4.581501%4.6%2,334414.529761%4.529761%4.5%3284.499493%4.499493%4.5%2,087424.232189%4.232189%4.2%1,639434.145125%4.145125%4.1%2,742444.084224%4.084224%4.1%3864.020265%4.020265%4.0%4,166453.932342%3.932342%3.9%3653.621021%3.621021%3.6%2,240463.522812%3.522812%3.5%2,870473.190124%3.190124%3.2%1,491482.939840%2.939840%2.9%1,488491.433130%1.433130%1.4%521500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#34

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 3, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 3
0%20%40%60%80%Count#New Trier TownshipNew TrierVernon TownshipVernonEvanston TownshipEvanstonNorthfield TownshipNorthfieldWheatland TownshipWheatlandNaperville TownshipNapervilleMilton TownshipMiltonLisle TownshipLisleDowners Grove TownshipDowners GrvChampaign City TownshipChampaign CityPalatine TownshipPalatineYork TownshipMonroe Precinct 33Bloomington City TownshipBloomington CityWheeling TownshipWheelingNiles TownshipNilesWarren TownshipWarrenFrankfort TownshipFrankfortSchaumburg TownshipSchaumburgWayne TownshipWayneColumbiaMaine TownshipMaineAlgonquin TownshipAlgonquinOrland TownshipOrlandZIP Code 62236ZIP 62236Rich TownshipColumbia Community Unit School District 4Columbia 4Lyons TownshipLyonsChicagoCapital TownshipCapitalDu Page TownshipDu PageElk Grove TownshipElk GrvPlainfield TownshipPlainfieldIllinoisBloomingdale TownshipBloomingdaleSt. Louis Metro AreaSt. LouisHanover TownshipHanoverUnited States of AmericaUnited StatesMonroe CountyMonroePalos TownshipPalosPeoria City TownshipPeoria CityAvon TownshipMidwestDundee TownshipDundeeEast North CentralProviso TownshipProvisoWorth TownshipWorthElgin TownshipElginAddison TownshipAddisonBremen TownshipBremenLockport TownshipLockportBloom TownshipBloomRockford TownshipRockfordBerwyn TownshipBerwynLeyden TownshipLeydenThornton TownshipThorntonAurora TownshipAuroraJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero82.981240%82.981240%83.0%30,16730.2k167.578844%67.578844%67.6%31,58531.6k265.899735%65.899735%65.9%31,53531.5k364.724140%64.724140%64.7%40,03940.0k464.115381%64.115381%64.1%32,45232.5k558.586546%58.586546%58.6%38,75538.8k657.681507%57.681507%57.7%45,19045.2k756.900171%56.900171%56.9%46,35646.4k853.762123%53.762123%53.8%55,71155.7k952.247591%52.247591%52.2%24,23424.2k1049.860853%49.860853%49.9%39,77539.8k1149.728972%49.728972%49.7%42,93542.9k1249.618321%49.618321%49.6%32547.014369%47.014369%47.0%23,95124.0k1346.409378%46.409378%46.4%51,46851.5k1446.325643%46.325643%46.3%35,78135.8k1545.538045%45.538045%45.5%18,84018.8k1642.794433%42.794433%42.8%16,57316.6k1741.792515%41.792515%41.8%39,02039.0k1840.377350%40.377350%40.4%18,27618.3k1940.174009%40.174009%40.2%2,90939.511462%39.511462%39.5%38,91838.9k2039.087672%39.087672%39.1%23,05023.1k2138.394701%38.394701%38.4%26,95527.0k2237.212993%37.212993%37.2%3,51737.195076%37.195076%37.2%19,82219.8k2337.104072%37.104072%37.1%3,44436.653116%36.653116%36.7%27,49927.5k2436.546320%36.546320%36.5%669,666670k2536.298510%36.298510%36.3%28,78028.8k2636.139928%36.139928%36.1%20,41420.4k2735.212579%35.212579%35.2%23,06623.1k2833.479384%33.479384%33.5%16,19916.2k2932.893660%32.893660%32.9%2,834,8692.83M32.623147%32.623147%32.6%25,12725.1k3032.608574%32.608574%32.6%624,238624k30.758450%30.758450%30.8%20,41120.4k3130.315023%30.315023%30.3%64,767,78764.8M29.780910%29.780910%29.8%7,01429.633591%29.633591%29.6%11,63811.6k3229.457073%29.457073%29.5%19,61919.6k3329.196640%29.196640%29.2%11,60811.6k3428.952816%28.952816%29.0%13,118,64213.1M28.660216%28.660216%28.7%11,75911.8k3528.462853%28.462853%28.5%8,931,6868.93M26.237989%26.237989%26.2%27,03327.0k3625.217641%25.217641%25.2%26,38926.4k3724.981289%24.981289%25.0%16,35516.4k3824.653379%24.653379%24.7%14,95415.0k3922.955021%22.955021%23.0%17,02017.0k4022.241812%22.241812%22.2%8,9574122.102430%22.102430%22.1%13,05913.1k4221.592552%21.592552%21.6%25,23525.2k4321.245931%21.245931%21.2%7,6364420.075327%20.075327%20.1%12,89912.9k4518.971090%18.971090%19.0%21,01221.0k4615.929601%15.929601%15.9%14,19214.2k4714.331954%14.331954%14.3%7,7934812.345126%12.345126%12.3%6,616497.338372%7.338372%7.3%3,43750
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#35

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 3
0%5%10%15%Count#New Trier TownshipNew TrierEvanston TownshipEvanstonNorthfield TownshipNorthfieldChampaign City TownshipChampaign CityVernon TownshipVernonDowners Grove TownshipDowners GrvYork TownshipWheatland TownshipWheatlandLisle TownshipLisleMilton TownshipMiltonNiles TownshipNilesMonroe Precinct 33Lyons TownshipLyonsNaperville TownshipNapervilleChicagoBloomington City TownshipBloomington CityCapital TownshipCapitalWarren TownshipWarrenMaine TownshipMaineRich TownshipFrankfort TownshipFrankfortOrland TownshipOrlandPalatine TownshipPalatineWheeling TownshipWheelingIllinoisSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesPeoria City TownshipPeoria CityZIP Code 62236ZIP 62236Palos TownshipPalosColumbia Community Unit School District 4Columbia 4ColumbiaMidwestDu Page TownshipDu PageEast North CentralSchaumburg TownshipSchaumburgElk Grove TownshipElk GrvWayne TownshipWayneAlgonquin TownshipAlgonquinAvon TownshipProviso TownshipProvisoBloomingdale TownshipBloomingdaleRockford TownshipRockfordMonroe CountyMonroeWorth TownshipWorthHanover TownshipHanoverBremen TownshipBremenBloom TownshipBloomBerwyn TownshipBerwynPlainfield TownshipPlainfieldDundee TownshipDundeeAddison TownshipAddisonElgin TownshipElginLeyden TownshipLeydenLockport TownshipLockportAurora TownshipAuroraThornton TownshipThorntonJoliet TownshipJolietWaukegan TownshipWaukeganCicero TownshipCicero19.288111%19.288111%19.3%7,012113.179947%13.179947%13.2%6,307210.526826%10.526826%10.5%6,512310.324904%10.324904%10.3%4,78947.745304%7.745304%7.7%3,62057.658384%7.658384%7.7%7,93666.197734%6.197734%6.2%5,35176.195792%6.195792%6.2%3,13685.933545%5.933545%5.9%4,83495.800061%5.800061%5.8%4,544105.751055%5.751055%5.8%4,442115.648855%5.648855%5.6%374.805065%4.805065%4.8%3,605124.772487%4.772487%4.8%3,157134.485379%4.485379%4.5%82,18982.2k144.406800%4.406800%4.4%2,245154.233985%4.233985%4.2%3,357164.113893%4.113893%4.1%1,702174.030539%4.030539%4.0%3,970184.004353%4.004353%4.0%2,134193.702843%3.702843%3.7%1,434203.647888%3.647888%3.6%2,561213.487439%3.487439%3.5%2,782223.407574%3.407574%3.4%3,779233.366505%3.366505%3.4%290,135290k3.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.226630%3.226630%3.2%2,149243.216591%3.216591%3.2%3043.195580%3.195580%3.2%1,255253.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.893416%2.893416%2.9%1,311,0191.31M2.860886%2.860886%2.9%1,616262.855432%2.855432%2.9%896,039896k2.551250%2.551250%2.6%2,382272.549424%2.549424%2.5%1,670282.359543%2.359543%2.4%1,068292.348652%2.348652%2.3%1,385302.303939%2.303939%2.3%916312.213918%2.213918%2.2%2,281322.113682%2.113682%2.1%1,628332.067272%2.067272%2.1%2,416342.042289%2.042289%2.0%4811.958049%1.958049%2.0%2,049351.949999%1.949999%1.9%1,294361.700722%1.700722%1.7%1,261371.656963%1.656963%1.7%979381.588715%1.588715%1.6%571391.564534%1.564534%1.6%757401.545248%1.545248%1.5%634411.506834%1.506834%1.5%914421.412882%1.412882%1.4%925431.408495%1.408495%1.4%905441.122396%1.122396%1.1%452450.936111%0.936111%0.9%834460.876686%0.876686%0.9%971470.823908%0.823908%0.8%448480.630691%0.630691%0.6%338490.217781%0.217781%0.2%10250
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#36

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 3, selected other county subdivisions in Illinois, and entities that contain the Monroe Precinct 3
Female
Male
1x0x1x2x3x4xFM#ColumbiaZIP 62236Columbia 4OrlandNorthfieldRockfordBloomington City3ElginPeoria CityMonroeCapitalNew TrierDowners GrvVernonNilesLisleYork TownshipFrankfortMaineAvon TownshipBloomWheelingLyonsMiltonLeydenPalosEast North CentralEvanstonMidwestBloomingdaleSt. LouisWheatlandChampaign CityAuroraNapervilleUnited StatesIllinoisPalatineSchaumburgPlainfieldWayneAddisonWarrenDundeeBremenChicagoJolietHanoverWaukeganLockportWorthElk GrvDu PageProvisoRich TownshipAlgonquinBerwynCiceroThornton-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.168832x2.168832x2.17x2.353%2.35%5.103%5.10%1-1.000000x-1.000000x2.130893x2.130893x2.13x6.892%6.89%14.686%14.7%2-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%3-1.000000x-1.000000x2.083932x2.083932x2.08x2.880%2.88%6.003%6.00%4-1.000000x-1.000000x2.080573x2.080573x2.08x3.825%3.83%7.958%7.96%-1.000000x-1.000000x2.059619x2.059619x2.06x0.925%0.92%1.905%1.90%5-1.000000x-1.000000x1.948954x1.948954x1.95x2.235%2.23%4.355%4.36%6-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%7-1.000000x-1.000000x1.852567x1.852567x1.85x13.689%13.7%25.360%25.4%8-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%9-1.000000x-1.000000x1.847396x1.847396x1.85x5.512%5.51%10.182%10.2%10-1.000000x-1.000000x1.821878x1.821878x1.82x4.168%4.17%7.593%7.59%11-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%12-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%13-1.000000x-1.000000x1.789153x1.789153x1.79x2.682%2.68%4.799%4.80%14-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%15-1.000000x-1.000000x1.784422x1.784422x1.78x1.662%1.66%2.965%2.96%16-1.000000x-1.000000x1.774387x1.774387x1.77x1.221%1.22%2.167%2.17%17-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%18-1.000000x-1.000000x1.707372x1.707372x1.71x3.605%3.60%6.154%6.15%19-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%20-1.000000x-1.000000x1.688497x1.688497x1.69x1.056%1.06%1.784%1.78%21-1.000000x-1.000000x1.633427x1.633427x1.63x2.477%2.48%4.046%4.05%22-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.595092x1.595092x1.60x10.344%10.3%16.500%16.5%23-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%24-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.580953x1.580953x1.58x4.824%4.82%7.627%7.63%25-1.000000x-1.000000x1.565420x1.565420x1.57x8.076%8.08%12.642%12.6%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.527866x1.527866x1.53x3.812%3.81%5.824%5.82%28-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%29-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%30-1.000000x-1.000000x1.423252x1.423252x1.42x1.300%1.30%1.850%1.85%31-1.000000x-1.000000x1.420248x1.420248x1.42x1.956%1.96%2.778%2.78%32-1.000000x-1.000000x1.378989x1.378989x1.38x1.269%1.27%1.750%1.75%33-1.000000x-1.000000x1.364046x1.364046x1.36x3.500%3.50%4.774%4.77%34-1.000000x-1.000000x1.303912x1.303912x1.30x1.342%1.34%1.750%1.75%35-1.000000x-1.000000x1.261737x1.261737x1.26x1.515%1.52%1.912%1.91%36-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%37-1.000000x-1.000000x1.227910x1.227910x1.23x0.742%0.74%0.911%0.91%38-1.000000x-1.000000x1.201846x1.201846x1.20x1.772%1.77%2.129%2.13%39-1.000000x-1.000000x1.151981x1.151981x1.15x0.586%0.59%0.675%0.68%40-1.000000x-1.000000x1.141842x1.141842x1.14x1.048%1.05%1.196%1.20%41-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%42-1.000000x-1.000000x1.076314x1.076314x1.08x2.458%2.46%2.645%2.65%43-1.000000x-1.000000x1.056291x1.056291x1.06x2.785%2.78%2.942%2.94%44-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%45-1.000000x-1.000000x1.035849x1.035849x1.04x3.943%3.94%4.085%4.08%46-1.000000x-1.000000x1.032695x1.032695x1.03x2.312%2.31%2.388%2.39%47-1.023718x-1.023718x1.02x1.000000x1.000000x1.607%1.61%1.570%1.57%48-1.655047x-1.655047x1.66x1.000000x1.000000x0.272%0.27%0.165%0.16%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the Midwest

There are 19,478 county subdivisions in the Midwest. This section compares the Monroe Precinct 3 to the 50 most populous county subdivisions in the Midwest and to those entities that contain or substantially overlap with the Monroe Precinct 3. The least populous of the compared county subdivisions has a population of 112,821.

No H.S. Diploma by County Subdivision#37

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 3
0%10%20%30%Count#Aurora TownshipAuroraCenter TownshipCtrKansas CityClevelandWayne TownshipWayneDetroitMilwaukeeNorth TownshipNDaytonChicagoProviso TownshipProvisoRockford TownshipRockfordSt. LouisWarrenGrand RapidsToledoBlue TownshipCincinnatiAkronSt. PaulSterling HeightsSterling HtsUnited States of AmericaUnited StatesThornton TownshipThorntonWichitaKaw TownshipOmahaBloomingdale TownshipBloomingdaleIllinoisColumbusMaine TownshipMaineTopekaMinneapolisSpringfield TownshipSpringfieldEast North CentralWorth TownshipWorthMidwestLawrence TownshipLawrenceSioux FallsSt. Louis Metro AreaSt. LouisCapital TownshipCapitalWheeling TownshipWheelingPalatine TownshipPalatineSchaumburg TownshipSchaumburgLincolnWashington TownshipWashingtonOlatheFargoCedar RapidsYork TownshipMilton TownshipMiltonMadisonMonroe CountyMonroeColumbiaZIP Code 62236ZIP 62236Downers Grove TownshipDowners GrvColumbia Community Unit School District 4Columbia 4Lisle TownshipLisleOverland ParkAnn ArborMonroe Precinct 3333.464284%33.464284%33.5%29,81429.8k123.165532%23.165532%23.2%22,92622.9k222.659362%22.659362%22.7%21,21821.2k321.582420%21.582420%21.6%54,98155.0k421.037720%21.037720%21.0%18,48918.5k521.003600%21.003600%21.0%90,67890.7k617.485105%17.485105%17.5%63,80063.8k717.062713%17.062713%17.1%17,39117.4k816.928359%16.928359%16.9%14,88914.9k916.905373%16.905373%16.9%309,770310k1015.636222%15.636222%15.6%16,11016.1k1115.608074%15.608074%15.6%18,24118.2k1215.466266%15.466266%15.5%33,80433.8k1315.286174%15.286174%15.3%14,05914.1k1414.563179%14.563179%14.6%17,64317.6k1514.332972%14.332972%14.3%26,34326.3k1614.241047%14.241047%14.2%15,25815.3k1713.761583%13.761583%13.8%26,28626.3k1813.591726%13.591726%13.6%17,95118.0k1913.278342%13.278342%13.3%24,61324.6k2013.132171%13.132171%13.1%12,21212.2k2113.020590%13.020590%13.0%27,818,38027.8M12.974232%12.974232%13.0%14,37014.4k2212.568464%12.568464%12.6%31,23131.2k2312.455744%12.455744%12.5%15,16315.2k2412.198899%12.198899%12.2%35,05035.1k2512.171847%12.171847%12.2%9,3752611.703119%11.703119%11.7%1,008,6081.01M11.376979%11.376979%11.4%60,83160.8k2711.132206%11.132206%11.1%10,96511.0k2811.032803%11.032803%11.0%9,3772910.958428%10.958428%11.0%29,34729.3k3010.767091%10.767091%10.8%11,14911.1k3110.719464%10.719464%10.7%3,363,7843.36M10.678962%10.678962%10.7%11,17511.2k3210.244520%10.244520%10.2%4,641,8354.64M10.179618%10.179618%10.2%8,161339.702326%9.702326%9.7%9,123349.047519%9.047519%9.0%173,200173k8.623103%8.623103%8.6%6,837358.424707%8.424707%8.4%9,343368.392669%8.392669%8.4%6,695377.739434%7.739434%7.7%7,226387.092309%7.092309%7.1%11,88611.9k396.804680%6.804680%6.8%6,403406.424130%6.424130%6.4%5,331416.055621%6.055621%6.1%4,270425.981653%5.981653%6.0%5,099435.461095%5.461095%5.5%4,715445.266517%5.266517%5.3%4,126454.836248%4.836248%4.8%7,351464.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.084224%4.084224%4.1%3864.020265%4.020265%4.0%4,166473.932342%3.932342%3.9%3653.522812%3.522812%3.5%2,870483.377424%3.377424%3.4%4,282493.157717%3.157717%3.2%2,057500.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#38

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 3
0%20%40%60%Count#Ann ArborOverland ParkMilton TownshipMiltonLisle TownshipLisleMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonPalatine TownshipPalatineYork TownshipMonroe Precinct 33MinneapolisOlatheWheeling TownshipWheelingSchaumburg TownshipSchaumburgKaw TownshipColumbiaSt. PaulMaine TownshipMaineFargoZIP Code 62236ZIP 62236LincolnColumbia Community Unit School District 4Columbia 4Lawrence TownshipLawrenceChicagoCapital TownshipCapitalColumbusOmahaCincinnatiSt. LouisGrand RapidsIllinoisBloomingdale TownshipBloomingdaleSt. Louis Metro AreaSt. LouisCedar RapidsUnited States of AmericaUnited StatesSioux FallsMonroe CountyMonroeMidwestWichitaEast North CentralSterling HeightsSterling HtsTopekaSpringfield TownshipSpringfieldProviso TownshipProvisoWorth TownshipWorthMilwaukeeRockford TownshipRockfordAkronCenter TownshipCtrNorth TownshipNThornton TownshipThorntonToledoDaytonWarrenWayne TownshipWayneKansas CityClevelandAurora TownshipAuroraBlue TownshipDetroit72.810169%72.810169%72.8%47,43047.4k158.823344%58.823344%58.8%74,57874.6k257.681507%57.681507%57.7%45,19045.2k356.900171%56.900171%56.9%46,35646.4k456.337583%56.337583%56.3%85,63285.6k553.762123%53.762123%53.8%55,71155.7k650.610540%50.610540%50.6%47,62347.6k749.860853%49.860853%49.9%39,77539.8k849.728972%49.728972%49.7%42,93542.9k949.618321%49.618321%49.6%32547.670489%47.670489%47.7%127,663128k1046.512581%46.512581%46.5%38,59838.6k1146.409378%46.409378%46.4%51,46851.5k1241.792515%41.792515%41.8%39,02039.0k1341.581304%41.581304%41.6%50,61950.6k1440.174009%40.174009%40.2%2,90939.969357%39.969357%40.0%74,08874.1k1539.511462%39.511462%39.5%38,91838.9k1638.241175%38.241175%38.2%26,96527.0k1737.212993%37.212993%37.2%3,51737.146608%37.146608%37.1%62,25462.3k1837.104072%37.104072%37.1%3,44436.577273%36.577273%36.6%29,32429.3k1936.546320%36.546320%36.5%669,666670k2036.298510%36.298510%36.3%28,78028.8k2134.685843%34.685843%34.7%185,460185k2234.651487%34.651487%34.7%99,56199.6k2333.783048%33.783048%33.8%64,52964.5k2433.007421%33.007421%33.0%72,14372.1k2532.904381%32.904381%32.9%39,86339.9k2632.893660%32.893660%32.9%2,834,8692.83M32.623147%32.623147%32.6%25,12725.1k2732.608574%32.608574%32.6%624,238624k31.793440%31.793440%31.8%27,10227.1k2830.315023%30.315023%30.3%64,767,78764.8M30.259813%30.259813%30.3%28,45328.5k2929.780910%29.780910%29.8%7,01428.952816%28.952816%29.0%13,118,64213.1M28.877567%28.877567%28.9%71,75771.8k3028.462853%28.462853%28.5%8,931,6868.93M27.532180%27.532180%27.5%25,60325.6k3127.007248%27.007248%27.0%22,95423.0k3226.964567%26.964567%27.0%27,92127.9k3326.237989%26.237989%26.2%27,03327.0k3425.217641%25.217641%25.2%26,38926.4k3523.517740%23.517740%23.5%85,81285.8k3621.592552%21.592552%21.6%25,23525.2k3720.213821%20.213821%20.2%26,69726.7k3820.139240%20.139240%20.1%19,93119.9k3919.650916%19.650916%19.7%20,02920.0k4018.971090%18.971090%19.0%21,01221.0k4118.048021%18.048021%18.0%33,17133.2k4217.635555%17.635555%17.6%15,51115.5k4317.280259%17.280259%17.3%15,89315.9k4416.826535%16.826535%16.8%14,78814.8k4516.167409%16.167409%16.2%15,13915.1k4616.073076%16.073076%16.1%40,94640.9k4715.929601%15.929601%15.9%14,19214.2k4815.821208%15.821208%15.8%16,95117.0k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#39

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 3
0%5%10%15%Count#Ann ArborMadisonDowners Grove TownshipDowners GrvWashington TownshipWashingtonMinneapolisYork TownshipOverland ParkLisle TownshipLisleSt. PaulKaw TownshipMilton TownshipMiltonMonroe Precinct 33St. LouisCincinnatiLincolnChicagoFargoCapital TownshipCapitalOmahaMaine TownshipMainePalatine TownshipPalatineWheeling TownshipWheelingIllinoisColumbusSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesTopekaZIP Code 62236ZIP 62236Grand RapidsLawrence TownshipLawrenceColumbia Community Unit School District 4Columbia 4ColumbiaSpringfield TownshipSpringfieldCedar RapidsMidwestEast North CentralSioux FallsOlatheCenter TownshipCtrSchaumburg TownshipSchaumburgWichitaProviso TownshipProvisoAkronBloomingdale TownshipBloomingdaleRockford TownshipRockfordMilwaukeeMonroe CountyMonroeWorth TownshipWorthClevelandToledoNorth TownshipNSterling HeightsSterling HtsKansas CityDetroitDaytonWayne TownshipWayneWarrenBlue TownshipAurora TownshipAuroraThornton TownshipThornton17.877867%17.877867%17.9%11,64611.6k19.171173%9.171173%9.2%13,94013.9k27.658384%7.658384%7.7%7,93637.306290%7.306290%7.3%6,87546.241155%6.241155%6.2%16,71416.7k56.197734%6.197734%6.2%5,35165.940071%5.940071%5.9%7,53175.933545%5.933545%5.9%4,83485.920847%5.920847%5.9%10,97511.0k95.896414%5.896414%5.9%7,178105.800061%5.800061%5.8%4,544115.648855%5.648855%5.6%374.880448%4.880448%4.9%10,66710.7k124.729595%4.729595%4.7%9,034134.568292%4.568292%4.6%7,656144.485379%4.485379%4.5%82,18982.2k154.336789%4.336789%4.3%3,058164.233985%4.233985%4.2%3,357174.059919%4.059919%4.1%11,66511.7k184.030539%4.030539%4.0%3,970193.487439%3.487439%3.5%2,782203.407574%3.407574%3.4%3,779213.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k223.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.233245%3.233245%3.2%2,748233.216591%3.216591%3.2%3043.174629%3.174629%3.2%3,846243.083448%3.083448%3.1%2,472253.070459%3.070459%3.1%2853.065875%3.065875%3.1%2222.911721%2.911721%2.9%3,015262.905776%2.905776%2.9%2,477272.893416%2.893416%2.9%1,311,0191.31M2.855432%2.855432%2.9%896,039896k2.841677%2.841677%2.8%2,672282.830666%2.830666%2.8%2,349292.602914%2.602914%2.6%2,576302.551250%2.551250%2.6%2,382312.519246%2.519246%2.5%6,260322.213918%2.213918%2.2%2,281332.163955%2.163955%2.2%2,858342.113682%2.113682%2.1%1,628352.067272%2.067272%2.1%2,416362.043126%2.043126%2.0%7,455372.042289%2.042289%2.0%4811.958049%1.958049%2.0%2,049381.927780%1.927780%1.9%4,911391.642065%1.642065%1.6%3,018401.575684%1.575684%1.6%1,606411.439893%1.439893%1.4%1,339421.388310%1.388310%1.4%1,300431.318660%1.318660%1.3%5,693441.257490%1.257490%1.3%1,106451.183365%1.183365%1.2%1,040461.047058%1.047058%1.0%963470.997751%0.997751%1.0%1,069480.936111%0.936111%0.9%834490.876686%0.876686%0.9%97150
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#40

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the Midwest, and entities that contain the Monroe Precinct 3
Female
Male
1x0x1x2x3x4xFM#ColumbiaZIP 62236Columbia 4RockfordN3DaytonSioux FallsMonroeCapitalLawrenceDowners GrvAkronLisleWichitaYork TownshipMaineWarrenWheelingBlue TownshipSpringfieldOverland ParkMiltonGrand RapidsOlatheOmahaFargoWashingtonEast North CentralLincolnMidwestBloomingdaleSt. LouisKansas CityAuroraUnited StatesAnn ArborIllinoisTopekaSterling HtsPalatineSchaumburgColumbusMadisonKaw TownshipMilwaukeeCedar RapidsClevelandCincinnatiSt. PaulSt. LouisChicagoWayneCtrToledoMinneapolisWorthDetroitProvisoThornton-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.117268x2.117268x2.12x1.353%1.35%2.866%2.87%1-1.000000x-1.000000x2.111054x2.111054x2.11x1.033%1.03%2.181%2.18%2-1.000000x-1.000000x2.080573x2.080573x2.08x3.825%3.83%7.958%7.96%-1.000000x-1.000000x1.989047x1.989047x1.99x0.860%0.86%1.711%1.71%3-1.000000x-1.000000x1.962539x1.962539x1.96x1.928%1.93%3.783%3.78%4-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.901348x1.901348x1.90x2.990%2.99%5.686%5.69%5-1.000000x-1.000000x1.879271x1.879271x1.88x2.206%2.21%4.146%4.15%6-1.000000x-1.000000x1.852471x1.852471x1.85x5.456%5.46%10.107%10.1%7-1.000000x-1.000000x1.846298x1.846298x1.85x1.550%1.55%2.862%2.86%8-1.000000x-1.000000x1.815266x1.815266x1.82x4.271%4.27%7.754%7.75%9-1.000000x-1.000000x1.792728x1.792728x1.79x1.819%1.82%3.261%3.26%10-1.000000x-1.000000x1.792314x1.792314x1.79x4.498%4.50%8.062%8.06%11-1.000000x-1.000000x1.788417x1.788417x1.79x2.939%2.94%5.256%5.26%12-1.000000x-1.000000x1.768853x1.768853x1.77x0.769%0.77%1.361%1.36%13-1.000000x-1.000000x1.766097x1.766097x1.77x2.485%2.48%4.389%4.39%14-1.000000x-1.000000x1.761699x1.761699x1.76x0.737%0.74%1.298%1.30%15-1.000000x-1.000000x1.751445x1.751445x1.75x2.146%2.15%3.759%3.76%16-1.000000x-1.000000x1.732234x1.732234x1.73x4.415%4.41%7.647%7.65%17-1.000000x-1.000000x1.695067x1.695067x1.70x4.357%4.36%7.385%7.38%18-1.000000x-1.000000x1.689013x1.689013x1.69x2.382%2.38%4.023%4.02%19-1.000000x-1.000000x1.678153x1.678153x1.68x2.131%2.13%3.576%3.58%20-1.000000x-1.000000x1.669388x1.669388x1.67x3.061%3.06%5.110%5.11%21-1.000000x-1.000000x1.627456x1.627456x1.63x3.304%3.30%5.377%5.38%22-1.000000x-1.000000x1.610803x1.610803x1.61x5.701%5.70%9.183%9.18%23-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.596978x1.596978x1.60x3.524%3.52%5.628%5.63%24-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.586045x1.586045x1.59x1.649%1.65%2.616%2.62%25-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.570028x1.570028x1.57x1.087%1.09%1.707%1.71%26-1.000000x-1.000000x1.550495x1.550495x1.55x0.737%0.74%1.143%1.14%27-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.522839x1.522839x1.52x14.269%14.3%21.730%21.7%28-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.481288x1.481288x1.48x2.641%2.64%3.912%3.91%29-1.000000x-1.000000x1.476996x1.476996x1.48x1.170%1.17%1.728%1.73%30-1.000000x-1.000000x1.457167x1.457167x1.46x2.851%2.85%4.154%4.15%31-1.000000x-1.000000x1.436165x1.436165x1.44x2.115%2.11%3.037%3.04%32-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%33-1.000000x-1.000000x1.387878x1.387878x1.39x7.705%7.70%10.693%10.7%34-1.000000x-1.000000x1.373250x1.373250x1.37x4.975%4.97%6.832%6.83%35-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%36-1.000000x-1.000000x1.346658x1.346658x1.35x2.491%2.49%3.354%3.35%37-1.000000x-1.000000x1.286599x1.286599x1.29x1.699%1.70%2.186%2.19%38-1.000000x-1.000000x1.280610x1.280610x1.28x4.179%4.18%5.351%5.35%39-1.000000x-1.000000x1.274509x1.274509x1.27x5.228%5.23%6.663%6.66%40-1.000000x-1.000000x1.273345x1.273345x1.27x4.319%4.32%5.500%5.50%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.223931x1.223931x1.22x1.068%1.07%1.307%1.31%43-1.000000x-1.000000x1.213574x1.213574x1.21x2.357%2.36%2.860%2.86%44-1.000000x-1.000000x1.141406x1.141406x1.14x1.539%1.54%1.757%1.76%45-1.000000x-1.000000x1.124528x1.124528x1.12x5.872%5.87%6.603%6.60%46-1.000000x-1.000000x1.084697x1.084697x1.08x1.883%1.88%2.042%2.04%47-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%48-1.000000x-1.000000x1.042857x1.042857x1.04x2.171%2.17%2.264%2.26%49-1.706858x-1.706858x1.71x1.000000x1.000000x1.072%1.07%0.628%0.63%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Educational Attainment by County Subdivision in the United States

There are 35,600 county subdivisions in the United States. This section compares the Monroe Precinct 3 to the 50 most populous county subdivisions in the United States and to those entities that contain or substantially overlap with the Monroe Precinct 3. The least populous of the compared county subdivisions has a population of 547,300.

No H.S. Diploma by County Subdivision#41

Percent of population 25 years of age and older without a high school diploma (or equivalent).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 3
0%10%20%Count#San Antonio CentralSan Antonio CntrlBronxSan BernardinoLos AngelesSouthwest DallasSW DallasEl PasoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…FresnoHoustonMiamiDetroitNortheast DallasNE DallasEast San Gabriel ValleyE San Gabriel VlyFort WorthBrooklynLong Beach-LakewoodLong Bch-LakewoodQueensSan Fernando ValleySan Fernando VlyMilwaukeePhiladelphiaOntarioChicagoBaltimoreOceanside-EscondidoOceanside-Escond…Las VegasPhoenixBostonSacramentoOrlandoAustinDenverUnited States of AmericaUnited StatesManhattanSan DiegoTampaSan JoseSan FranciscoTucsonAlbuquerqueIllinoisTownship 1:Charlotte1, CharlotteColumbusTulsaEast North CentralSalt Lake CitySalt Lk CityTown of HempsteadHempsteadMidwestNorthwest HarrisNW HarrisWashingtonAtlantaSt. Louis Metro AreaSt. LouisSeattleNortheast TarrantNE TarrantPlanoSeattle EastMonroe CountyMonroeColumbiaZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Monroe Precinct 3328.998944%28.998944%29.0%126,922127k128.837398%28.837398%28.8%261,022261k227.582802%27.582802%27.6%135,754136k324.837401%24.837401%24.8%434,160434k423.987048%23.987048%24.0%141,940142k523.756417%23.756417%23.8%81,30881.3k622.645542%22.645542%22.6%248,699249k722.107626%22.107626%22.1%92,47292.5k821.922900%21.922900%21.9%457,347457k921.818150%21.818150%21.8%149,688150k1021.003600%21.003600%21.0%90,67890.7k1120.783651%20.783651%20.8%207,494207k1220.461493%20.461493%20.5%128,038128k1320.041576%20.041576%20.0%106,726107k1420.017506%20.017506%20.0%351,046351k1519.402518%19.402518%19.4%73,10573.1k1619.344706%19.344706%19.3%315,505316k1719.344408%19.344408%19.3%244,983245k1817.485105%17.485105%17.5%63,80063.8k1917.390838%17.390838%17.4%180,039180k2017.129346%17.129346%17.1%71,39771.4k2116.905373%16.905373%16.9%309,770310k2216.548703%16.548703%16.5%69,83969.8k2315.999398%15.999398%16.0%70,21470.2k2415.906523%15.906523%15.9%198,651199k2514.952077%14.952077%15.0%308,569309k2614.325556%14.325556%14.3%63,64263.6k2713.900512%13.900512%13.9%103,047103k2813.679368%13.679368%13.7%53,75853.8k2913.668915%13.668915%13.7%78,23878.2k3013.638703%13.638703%13.6%63,86563.9k3113.020590%13.020590%13.0%27,818,38027.8M12.996284%12.996284%13.0%160,845161k3212.985760%12.985760%13.0%206,792207k3312.979618%12.979618%13.0%57,75857.8k3412.789590%12.789590%12.8%153,604154k3512.559735%12.559735%12.6%84,02484.0k3612.262851%12.262851%12.3%70,40970.4k3712.089143%12.089143%12.1%52,21752.2k3811.703119%11.703119%11.7%1,008,6081.01M11.553484%11.553484%11.6%61,37861.4k3911.376979%11.376979%11.4%60,83160.8k4011.299086%11.299086%11.3%43,65343.7k4110.719464%10.719464%10.7%3,363,7843.36M10.435356%10.435356%10.4%64,29464.3k4210.384134%10.384134%10.4%54,23054.2k4310.244520%10.244520%10.2%4,641,8354.64M10.135583%10.135583%10.1%47,67947.7k4410.045421%10.045421%10.0%46,51046.5k459.538552%9.538552%9.5%37,37337.4k469.047519%9.047519%9.0%173,200173k8.833573%8.833573%8.8%66,22066.2k478.418271%8.418271%8.4%31,44331.4k485.714681%5.714681%5.7%20,64420.6k494.913852%4.913852%4.9%20,32620.3k504.606827%4.606827%4.6%1,0854.529761%4.529761%4.5%3284.084224%4.084224%4.1%3863.932342%3.932342%3.9%3650.000000%0.000000%0.0%0
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older without a high school diploma (or equivalent).

Bachelor's Degrees by County Subdivision#42

Percent of population 25 years of age and older with a bachelor's degree or higher..
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 3
0%20%40%60%Count#ManhattanSeattle EastWashingtonSan FranciscoPlanoSan JoseAtlantaSeattleMonroe Precinct 33BostonDenverAustinTownship 1:Charlotte1, CharlotteColumbiaTown of HempsteadHempsteadSan DiegoNortheast TarrantNE TarrantZIP Code 62236ZIP 62236Columbia Community Unit School District 4Columbia 4Northwest HarrisNW HarrisChicagoColumbusLos AngelesBrooklynSan Fernando ValleySan Fernando VlyNortheast DallasNE DallasSalt Lake CitySalt Lk CityIllinoisAlbuquerqueSt. Louis Metro AreaSt. LouisTampaTucsonOceanside-EscondidoOceanside-Escond…TulsaQueensUnited States of AmericaUnited StatesHoustonMonroe CountyMonroeBaltimoreLong Beach-LakewoodLong Bch-LakewoodMidwestPhoenixOrlandoEast North CentralAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…SacramentoEast San Gabriel ValleyE San Gabriel VlyOntarioPhiladelphiaMiamiFort WorthSouthwest DallasSW DallasMilwaukeeFresnoLas VegasEl PasoBronxSan BernardinoSan Antonio CentralSan Antonio CntrlDetroit60.434640%60.434640%60.4%747,953748k157.691220%57.691220%57.7%238,638239k255.360186%55.360186%55.4%256,316256k354.793235%54.793235%54.8%366,564367k454.142756%54.142756%54.1%195,588196k549.985845%49.985845%50.0%600,334600k649.803731%49.803731%49.8%195,136195k749.626221%49.626221%49.6%372,018372k849.618321%49.618321%49.6%32546.377869%46.377869%46.4%206,036206k945.718966%45.718966%45.7%214,085214k1044.843364%44.843364%44.8%256,674257k1141.989192%41.989192%42.0%223,068223k1240.174009%40.174009%40.2%2,90938.767308%38.767308%38.8%202,458202k1338.701072%38.701072%38.7%616,296616k1438.547398%38.547398%38.5%143,978144k1537.212993%37.212993%37.2%3,51737.104072%37.104072%37.1%3,44436.877886%36.877886%36.9%173,478173k1636.546320%36.546320%36.5%669,666670k1734.685843%34.685843%34.7%185,460185k1834.593243%34.593243%34.6%604,693605k1934.081468%34.081468%34.1%597,685598k2033.231104%33.231104%33.2%420,848421k2133.191099%33.191099%33.2%331,364331k2233.118385%33.118385%33.1%204,048204k2332.893660%32.893660%32.9%2,834,8692.83M32.636312%32.636312%32.6%140,967141k2432.608574%32.608574%32.6%624,238624k32.512191%32.512191%32.5%144,676145k2532.087814%32.087814%32.1%184,237184k2631.198303%31.198303%31.2%136,915137k2731.110082%31.110082%31.1%120,191120k2830.595789%30.595789%30.6%499,006499k2930.315023%30.315023%30.3%64,767,78764.8M30.080133%30.080133%30.1%627,520628k3029.780910%29.780910%29.8%7,01429.719611%29.719611%29.7%125,423125k3129.113198%29.113198%29.1%109,693110k3228.952816%28.952816%29.0%13,118,64213.1M28.760152%28.760152%28.8%593,529594k3328.535877%28.535877%28.5%112,142112k3428.462853%28.462853%28.5%8,931,6868.93M28.412939%28.412939%28.4%312,038312k3528.231204%28.231204%28.2%209,283209k3627.276345%27.276345%27.3%170,682171k3726.758411%26.758411%26.8%111,532112k3826.349720%26.349720%26.3%272,786273k3926.011156%26.011156%26.0%178,455178k4024.665414%24.665414%24.7%131,349131k4123.764821%23.764821%23.8%140,625141k4223.517740%23.517740%23.5%85,81285.8k4322.486319%22.486319%22.5%94,05694.1k4421.702666%21.702666%21.7%271,037271k4521.071885%21.071885%21.1%72,12072.1k4619.131504%19.131504%19.1%173,169173k4716.375473%16.375473%16.4%80,59580.6k4814.929012%14.929012%14.9%65,34165.3k4913.833543%13.833543%13.8%59,72359.7k50
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a bachelor's degree or higher..

Very Advanced Degrees by County Subdivision#43

Percent of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 3
0%5%10%Count#WashingtonManhattanSan FranciscoBostonAtlantaSeattleSan JoseSeattle EastDenverMonroe Precinct 33San DiegoAustinBaltimoreLos AngelesAlbuquerquePlanoChicagoTucsonTown of HempsteadHempsteadTampaMiamiNortheast DallasNE DallasSalt Lake CitySalt Lk CityHoustonPhiladelphiaSan Fernando ValleySan Fernando VlyTownship 1:Charlotte1, CharlotteOceanside-EscondidoOceanside-Escond…BrooklynSacramentoIllinoisColumbusSt. Louis Metro AreaSt. LouisUnited States of AmericaUnited StatesZIP Code 62236ZIP 62236TulsaColumbia Community Unit School District 4Columbia 4ColumbiaPhoenixLong Beach-LakewoodLong Bch-LakewoodMidwestOrlandoEast North CentralFresnoAnaheim-Santa Ana-Garden GroveAnaheim-Santa An…QueensNorthwest HarrisNW HarrisNortheast TarrantNE TarrantEast San Gabriel ValleyE San Gabriel VlyOntarioFort WorthLas VegasMilwaukeeMonroe CountyMonroeSan BernardinoSan Antonio CentralSan Antonio CntrlEl PasoSouthwest DallasSW DallasBronxDetroit12.461852%12.461852%12.5%57,69857.7k110.788423%10.788423%10.8%133,520134k27.558053%7.558053%7.6%50,56350.6k37.340604%7.340604%7.3%32,61132.6k46.889819%6.889819%6.9%26,99527.0k56.641855%6.641855%6.6%49,79049.8k66.255912%6.255912%6.3%75,13475.1k76.036065%6.036065%6.0%24,96825.0k85.725842%5.725842%5.7%26,81226.8k95.648855%5.648855%5.6%375.247128%5.247128%5.2%83,55883.6k105.058711%5.058711%5.1%28,95529.0k114.934352%4.934352%4.9%20,82420.8k124.659072%4.659072%4.7%81,44181.4k134.631274%4.631274%4.6%20,00420.0k144.617088%4.617088%4.6%16,67916.7k154.485379%4.485379%4.5%82,18982.2k164.461087%4.461087%4.5%25,61425.6k174.441262%4.441262%4.4%23,19423.2k184.325266%4.325266%4.3%19,24719.2k194.025531%4.025531%4.0%27,61827.6k203.827408%3.827408%3.8%38,21138.2k213.792624%3.792624%3.8%23,36723.4k223.737871%3.737871%3.7%77,97878.0k233.720350%3.720350%3.7%38,51538.5k243.601468%3.601468%3.6%45,61045.6k253.490252%3.490252%3.5%18,54218.5k263.466073%3.466073%3.5%15,21115.2k273.384967%3.384967%3.4%59,36259.4k283.380196%3.380196%3.4%25,05825.1k293.366505%3.366505%3.4%290,135290k3.357865%3.357865%3.4%17,95418.0k303.340948%3.340948%3.3%63,95764.0k3.336158%3.336158%3.3%7,127,6737.13M3.216591%3.216591%3.2%3043.140490%3.140490%3.1%12,13312.1k313.070459%3.070459%3.1%2853.065875%3.065875%3.1%2223.010825%3.010825%3.0%62,13562.1k323.009440%3.009440%3.0%11,33911.3k332.893416%2.893416%2.9%1,311,0191.31M2.893233%2.893233%2.9%11,37011.4k342.855432%2.855432%2.9%896,039896k2.828959%2.828959%2.8%11,83311.8k352.763004%2.763004%2.8%30,34430.3k362.756960%2.756960%2.8%44,96545.0k372.682967%2.682967%2.7%12,62112.6k382.630994%2.630994%2.6%9,827392.484535%2.484535%2.5%15,54715.5k402.324315%2.324315%2.3%9,688412.173239%2.173239%2.2%11,57311.6k422.155077%2.155077%2.2%26,91426.9k432.043126%2.043126%2.0%7,455442.042289%2.042289%2.0%4811.807306%1.807306%1.8%8,895451.792414%1.792414%1.8%7,845461.745764%1.745764%1.7%5,975471.704476%1.704476%1.7%10,08610.1k481.664253%1.664253%1.7%15,06415.1k491.318660%1.318660%1.3%5,69350
Count number of people in category
# rank of county subdivision out of 50 by percentage of population 25 years of age and older with a professional or doctorate degree (e.g., MBA, PhD, or MD).

Over-Education Sex Ratio by County Subdivision#44

Percentage more likely men are than women to have a professional or doctorate degree (e.g., MBA, PhD, or MD) among people aged 25 years and older.
Scope: population of the Monroe Precinct 3, selected other county subdivisions in the United States, and entities that contain the Monroe Precinct 3
Female
Male
1x0x1x2x3x4xFM#ColumbiaZIP 62236Columbia 4El Paso3Salt Lk CityMonroePlanoTulsaAlbuquerqueNE DallasFort WorthOrlandoPhoenixTucson1, CharlotteEast North CentralMidwestSt. LouisNW HarrisLas VegasSeattle EastSan Antonio CntrlSan DiegoUnited StatesSan JoseIllinoisHempsteadFresnoNE TarrantTampaSan Fernando VlyE San Gabriel VlyHoustonSan BernardinoColumbusMiamiAtlantaMilwaukeeAnaheim-Santa Ana-Gdn GrvAnaheim-Santa An…SacramentoPhiladelphiaOceanside-EscondidoOceanside-Escond…Los AngelesAustinBaltimoreWashingtonQueensSW DallasBrooklynManhattanChicagoSeattleBostonBronxOntarioLong Bch-LakewoodDenverSan FranciscoDetroit-1.000000x-1.000000x4.022103x4.022103x4.02x1.291%1.29%5.194%5.19%-1.000000x-1.000000x3.042339x3.042339x3.04x1.647%1.65%5.010%5.01%-1.000000x-1.000000x2.790578x2.790578x2.79x1.674%1.67%4.672%4.67%-1.000000x-1.000000x2.132933x2.132933x2.13x1.146%1.15%2.445%2.44%1-1.000000x-1.000000x2.080573x2.080573x2.08x3.825%3.83%7.958%7.96%-1.000000x-1.000000x2.053360x2.053360x2.05x2.488%2.49%5.109%5.11%2-1.000000x-1.000000x1.914640x1.914640x1.91x1.420%1.42%2.718%2.72%-1.000000x-1.000000x1.782054x1.782054x1.78x3.355%3.35%5.978%5.98%3-1.000000x-1.000000x1.720683x1.720683x1.72x2.338%2.34%4.022%4.02%4-1.000000x-1.000000x1.707718x1.707718x1.71x3.458%3.46%5.905%5.91%5-1.000000x-1.000000x1.692229x1.692229x1.69x2.857%2.86%4.836%4.84%6-1.000000x-1.000000x1.684272x1.684272x1.68x1.637%1.64%2.757%2.76%7-1.000000x-1.000000x1.660799x1.660799x1.66x2.196%2.20%3.647%3.65%8-1.000000x-1.000000x1.659024x1.659024x1.66x2.280%2.28%3.783%3.78%9-1.000000x-1.000000x1.621815x1.621815x1.62x3.429%3.43%5.561%5.56%10-1.000000x-1.000000x1.611479x1.611479x1.61x2.711%2.71%4.369%4.37%11-1.000000x-1.000000x1.597848x1.597848x1.60x2.216%2.22%3.541%3.54%-1.000000x-1.000000x1.589934x1.589934x1.59x2.251%2.25%3.579%3.58%-1.000000x-1.000000x1.582808x1.582808x1.58x2.619%2.62%4.146%4.15%-1.000000x-1.000000x1.579303x1.579303x1.58x2.100%2.10%3.317%3.32%12-1.000000x-1.000000x1.576623x1.576623x1.58x1.677%1.68%2.643%2.64%13-1.000000x-1.000000x1.557664x1.557664x1.56x4.733%4.73%7.372%7.37%14-1.000000x-1.000000x1.540473x1.540473x1.54x1.423%1.42%2.192%2.19%15-1.000000x-1.000000x1.529565x1.529565x1.53x4.164%4.16%6.370%6.37%16-1.000000x-1.000000x1.526215x1.526215x1.53x2.660%2.66%4.060%4.06%-1.000000x-1.000000x1.514156x1.514156x1.51x4.979%4.98%7.539%7.54%17-1.000000x-1.000000x1.497824x1.497824x1.50x2.715%2.72%4.067%4.07%-1.000000x-1.000000x1.488724x1.488724x1.49x3.608%3.61%5.371%5.37%18-1.000000x-1.000000x1.484269x1.484269x1.48x2.293%2.29%3.404%3.40%19-1.000000x-1.000000x1.481801x1.481801x1.48x2.138%2.14%3.168%3.17%20-1.000000x-1.000000x1.476874x1.476874x1.48x3.518%3.52%5.196%5.20%21-1.000000x-1.000000x1.460302x1.460302x1.46x2.944%2.94%4.299%4.30%22-1.000000x-1.000000x1.451775x1.451775x1.45x2.041%2.04%2.963%2.96%23-1.000000x-1.000000x1.424636x1.424636x1.42x3.092%3.09%4.404%4.40%24-1.000000x-1.000000x1.423621x1.423621x1.42x1.501%1.50%2.137%2.14%25-1.000000x-1.000000x1.413654x1.413654x1.41x2.801%2.80%3.959%3.96%26-1.000000x-1.000000x1.395174x1.395174x1.40x3.384%3.38%4.722%4.72%27-1.000000x-1.000000x1.391590x1.391590x1.39x5.799%5.80%8.070%8.07%28-1.000000x-1.000000x1.368590x1.368590x1.37x1.742%1.74%2.385%2.38%29-1.000000x-1.000000x1.362600x1.362600x1.36x2.347%2.35%3.199%3.20%30-1.000000x-1.000000x1.359928x1.359928x1.36x2.888%2.89%3.927%3.93%31-1.000000x-1.000000x1.341930x1.341930x1.34x3.216%3.22%4.316%4.32%32-1.000000x-1.000000x1.310218x1.310218x1.31x3.011%3.01%3.945%3.95%33-1.000000x-1.000000x1.308108x1.308108x1.31x4.045%4.05%5.292%5.29%34-1.000000x-1.000000x1.303834x1.303834x1.30x4.384%4.38%5.716%5.72%35-1.000000x-1.000000x1.303196x1.303196x1.30x4.332%4.33%5.645%5.65%36-1.000000x-1.000000x1.300117x1.300117x1.30x10.922%10.9%14.199%14.2%37-1.000000x-1.000000x1.285200x1.285200x1.29x2.428%2.43%3.121%3.12%38-1.000000x-1.000000x1.265486x1.265486x1.27x1.515%1.51%1.917%1.92%39-1.000000x-1.000000x1.262281x1.262281x1.26x3.021%3.02%3.814%3.81%40-1.000000x-1.000000x1.245683x1.245683x1.25x9.673%9.67%12.050%12.1%41-1.000000x-1.000000x1.238186x1.238186x1.24x4.026%4.03%4.985%4.99%42-1.000000x-1.000000x1.228890x1.228890x1.23x5.961%5.96%7.326%7.33%43-1.000000x-1.000000x1.221037x1.221037x1.22x6.643%6.64%8.112%8.11%44-1.000000x-1.000000x1.202385x1.202385x1.20x1.526%1.53%1.834%1.83%45-1.000000x-1.000000x1.198236x1.198236x1.20x2.119%2.12%2.539%2.54%46-1.000000x-1.000000x1.181998x1.181998x1.18x2.766%2.77%3.269%3.27%47-1.000000x-1.000000x1.129665x1.129665x1.13x5.378%5.38%6.075%6.08%48-1.000000x-1.000000x1.098720x1.098720x1.10x7.194%7.19%7.905%7.90%49-1.000000x-1.000000x1.046557x1.046557x1.05x1.291%1.29%1.351%1.35%50
F percentage of females in category
M percentage of males in category
# rank of county subdivision out of 50 by male-to-female sex ratio

Definitions

Educational attainment is reported in terms of the highest level of education obtained by persons aged 25 years and older. On this page, we report on both detailed and coarse categorizations of the levels of education in the population. The detailed levels of educational attainment are as follows:

  • None: no formal education at all
  • Less than High School: some education, but stopped short of high school
  • Some High School: some high school education, but no high school diploma (or equivalent)
  • Some College: high school diploma (or equivalent), and some college, but no post-secondary degree
  • Associate's Degree: highest post-secondary degree is an associate's degree (including occupational or academic degrees)
  • Bachelor's Degree: highest post-secondary degree is a bachelor's degree (e.g., BA, BS, AB)
  • Master's Degree: highest post-secondary degree is a master's degree (e.g., MA, MS, MENG, MSW)
  • Professional Degree: highest post-secondary degree is a professional degree (e.g., MD, DDC, JD)
  • Doctorate Degree: highest post-secondary degree is a doctorate degree (e.g., PhD, EdD)

The coarse levels of educational attainment are as follows:

  • No High School Diploma: does not have a high school diploma or equivalent
  • High School Diploma: has a high school diploma or equivalent and possibly some college, but no post-secondary degrees
  • Higher Degree: has some post-secondary degree (associate's, bachelor's, master's, professional, doctorate)

For additional information about the data presented on this site, including our sources, please see the About Page.

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State:
Illinois
County:
Monroe
Metro Area:
St. Louis Area
City:
Columbia
ZIP Code:
62236
Unified School District:
Columbia 4
Congressional District:
IL-12
State Senate District:
IL-58
State House District:
IL-116
Neighboring Precincts:
10, 11, 25, 36
Nearby Precincts:
2, 4, 5, 14, 21, 24, 34, 35, 37
Nearby Townships:
Sugar Loaf